English
Related papers

Related papers: Natural Disaster In Canada (2024)

200 papers

The effect of changing greenhouse gas concentrations on climate was examined. Calculations of the climate sensitivity, the warming of the Earth due to a doubling of atmospheric CO2, are discussed. Ontario was responsible for 0.35% of the…

Atmospheric and Oceanic Physics · Physics 2023-05-10 W. A. van Wijngaarden

Drought has been perceived as a persistent threat globally and the complex mechanism of various factors contributing to its emergence makes it more troublesome to understand. Droughts and their severity trends have been a point of concern…

Computers and Society · Computer Science 2024-11-08 Ujjwal , Shikha C. Patel , Bansari K. Shah , Nicholas Ogbonna , Huthaifa I Ashqar

We consider the task of assessing the righthand tail of an insurer's loss distribution for some specified period, such as a year. We present and analyse six different approaches: four upper bounds, and two approximations. We examine these…

Applications · Statistics 2015-07-08 Isabella Gollini , Jonathan Rougier

Evaluating resilience in electric distribution systems under severe weather requires models that can connect network topology, hazard simulation, fragility modeling, restoration assumptions, repair strategy, and downstream consequences.…

Systems and Control · Electrical Eng. & Systems 2026-05-19 Xuesong Wang , Caisheng Wang , Carol Miller , Amir Shahin Kamjou , John Norton

Understanding how weather and climate influence fire risk is important for many purposes, including climate adaptation planning and decision-making in sectors such as emergency management, finance, health and infrastructure (e.g., for…

Atmospheric and Oceanic Physics · Physics 2026-03-27 Soubhik Biswas , Andrew Dowdy , Savin Chand

Drought is a serious natural disaster that has a long duration and a wide range of influence. To decrease the drought-caused losses, drought prediction is the basis of making the corresponding drought prevention and disaster reduction…

Machine Learning · Computer Science 2022-07-08 Weiwei Jiang , Jiayun Luo

As Canada prepares for the 2025 federal election, ensuring the integrity and security of the electoral process against cyber threats is crucial. Recent foreign interference in elections globally highlight the increasing sophistication of…

Cryptography and Security · Computer Science 2024-10-10 Nazmul Islam , Soomin Kim , Mohammad Pirooz , Sasha Shvetsov

Disasters impact communities through interconnected social, spatial, and physical networks. Analyzing network dynamics is crucial for understanding resilience and recovery. We highlight six studies demonstrating how hazards and recovery…

Social and Information Networks · Computer Science 2025-02-27 Chia-Fu Liu , Ali Mostafavi

Wildfires are increasingly impacting the environment, human health and safety. Among the top 20 California wildfires, those in 2020-2021 burned more acres than the last century combined. California's 2018 wildfire season caused damages of…

Machine Learning · Computer Science 2022-08-22 Rohan Tan Bhowmik

As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespread flooding during hurricanes are all becoming more frequent…

Artificial Intelligence · Computer Science 2026-05-07 Hao Li , Fabian Deuser , Wenping Yin , Steffen Knoblauch , Wufan Zhao , Filip Biljecki , Yong Xue , Wei Huang

Rapid urbanization and climate change trends are intertwined with complex interactions of various social, economic, and political factors. The increased trends of disaster risks have recently caused numerous events, ranging from…

Physics and Society · Physics 2021-08-09 Takahiro Yabe , Nicholas K W Jones , P Suresh C Rao , Marta C Gonzalez , Satish V Ukkusuri

In this paper, we present a methodology for measuring the impact of scenarios on the expected losses of exposures by leveraging the existing provisioning infrastructure within financial institutions, where scenario effects are captured…

Risk Management · Quantitative Finance 2026-02-03 Mahmood Alaghmandan , Meghal Arora , Olga Streltchenko

Electricity networks are vulnerable to weather damage, with severe events often leading to faults and power outages. Timely forecasts of fault occurrences, ranging from nowcasts to several days ahead, can enhance preparedness, support…

Applications · Statistics 2026-03-03 Mateus Maia , Daniela Castro-Camilo , Jethro Browell

Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are increasingly relying on signals from social media to detect…

Social and Information Networks · Computer Science 2017-09-11 Armineh Nourbakhsh , Quanzhi Li , Xiaomo Liu , Sameena Shah

Individual and community psychology plays an important role in disaster management as human behavior exhibit diverse risk perceptions, recognition of the threats that exists, positive and negative emotions, panic, anger, rumor, stress and…

Physics and Society · Physics 2023-01-19 Liaquat Hossain

Extreme weather can substantially change electricity consumption behavior, causing load curves to exhibit sharp spikes and pronounced volatility. If forecasts are inaccurate during those periods, power systems are more likely to face supply…

Machine Learning · Computer Science 2026-02-05 Chenxi Hu , Yue Ma , Yifan Wu , Yunhe Hou

Statistical physics and dynamical systems theory are key tools to study high-impact geophysical events such as temperature extremes, cyclones, thunderstorms, geomagnetic storms and many more. Despite the intrinsic differences between these…

Detecting extreme events in large datasets is a major challenge in climate science research. Current algorithms for extreme event detection are build upon human expertise in defining events based on subjective thresholds of relevant…

Computer Vision and Pattern Recognition · Computer Science 2016-05-05 Yunjie Liu , Evan Racah , Prabhat , Joaquin Correa , Amir Khosrowshahi , David Lavers , Kenneth Kunkel , Michael Wehner , William Collins

Drought is a frequent and costly natural disaster in California, with major negative impacts on agricultural production and water resource availability, particularly groundwater. This study investigated the performance of applying different…

Machine Learning · Computer Science 2025-02-13 Nan K. Li , Angela Chang , David Sherman

Our society is on the verge of a revolution powered by Artificial Intelligence (AI) technologies. With increasing advancements in AI, there is a growing expansion in data centers (DCs) serving as critical infrastructure for this new wave of…

Computers and Society · Computer Science 2025-07-11 Miguel Esparza , Bo Li , Junwei Ma , Ali Mostafavi
‹ Prev 1 3 4 5 6 7 10 Next ›